1 00:00:03,520 --> 00:00:07,280 Speaker 1: This is Bloomberg Surveillance. I think the currency is beginning 2 00:00:07,320 --> 00:00:10,440 Speaker 1: to shift its focus from nominal short term interest rate 3 00:00:10,480 --> 00:00:13,600 Speaker 1: dereferentials to real short term interest right dereferentials. If we're 4 00:00:13,600 --> 00:00:15,400 Speaker 1: going to start so assessful, we think is gonna happen 5 00:00:15,400 --> 00:00:17,440 Speaker 1: in the emerging world. That's cristal for the global if 6 00:00:17,440 --> 00:00:19,360 Speaker 1: on leave, the story starts and ends in what happens 7 00:00:19,400 --> 00:00:21,840 Speaker 1: in China. We're in a modest growth environment. Growth is 8 00:00:21,880 --> 00:00:25,560 Speaker 1: Britain and below POW, but we are not facing a 9 00:00:25,600 --> 00:00:29,920 Speaker 1: significant risk of recession anytime. So Bloomberg Surveillance your link 10 00:00:30,000 --> 00:00:34,440 Speaker 1: to the world of economics, finance, and investment on Bloomberg Radio. 11 00:00:34,640 --> 00:00:38,040 Speaker 1: Good morning everyone, Bloomberg Surveillance and Michael McKee and Tom Keane, 12 00:00:38,120 --> 00:00:43,320 Speaker 1: we welcome all of you to Bloomberg Surveillance on economics, finance, investment, 13 00:00:43,360 --> 00:00:46,880 Speaker 1: on international relations. Will do that with David Blanche Flower 14 00:00:47,000 --> 00:00:51,519 Speaker 1: in a moment. Bloomberg Surveillance this morning. This Monday is 15 00:00:51,560 --> 00:00:55,960 Speaker 1: always brought you by Cone Resnec. Accounting, tax, advisory, regulatory 16 00:00:56,040 --> 00:00:59,360 Speaker 1: changes can impict your business. See how the experts at 17 00:00:59,360 --> 00:01:03,120 Speaker 1: Cone Residents can help you navigate these complexities. Find out 18 00:01:03,120 --> 00:01:08,479 Speaker 1: more at Cohn Resnick dot com, Michael McKee, await for week. 19 00:01:08,480 --> 00:01:12,680 Speaker 1: He's back, Mike. It was a central bank derby last week, 20 00:01:12,880 --> 00:01:15,480 Speaker 1: it almost seemed. And I thought one of the great 21 00:01:15,520 --> 00:01:19,880 Speaker 1: insights was John Williams disagreeing with James Bullard about the 22 00:01:19,959 --> 00:01:22,920 Speaker 1: dot charts. Did you read about the dot charts in 23 00:01:23,000 --> 00:01:29,039 Speaker 1: your one week there? I actually was um at dinner 24 00:01:29,120 --> 00:01:32,679 Speaker 1: with research director for one of the regional Federal Reserve 25 00:01:32,760 --> 00:01:37,600 Speaker 1: banks who noted the frustration within the Federal Reserve at 26 00:01:38,080 --> 00:01:43,120 Speaker 1: the inability of investors to understand what the dot charts 27 00:01:43,160 --> 00:01:46,640 Speaker 1: are supposed to tell you, which was Bullard's argument. He 28 00:01:46,680 --> 00:01:52,600 Speaker 1: also noted that investors don't tend to get the Atlanta 29 00:01:52,640 --> 00:01:57,080 Speaker 1: Fed GDP now number correct. They think it's a forecast 30 00:01:57,200 --> 00:02:01,440 Speaker 1: rather than a data point um at any point in time. 31 00:02:01,520 --> 00:02:03,720 Speaker 1: And uh and they said, you know, we we try 32 00:02:03,760 --> 00:02:06,800 Speaker 1: to be transparent and provide all this information, and people 33 00:02:06,880 --> 00:02:10,080 Speaker 1: just don't understand what we're doing. Very good, let us 34 00:02:10,120 --> 00:02:14,200 Speaker 1: begin a discussion, and within the enthusiasm of the moment 35 00:02:14,200 --> 00:02:17,960 Speaker 1: where Ian entered the second quarter, let me garner a 36 00:02:18,040 --> 00:02:22,360 Speaker 1: single sentence. A worker who was employed in an area 37 00:02:22,480 --> 00:02:27,600 Speaker 1: of high unemployment earns less than the exact same individual 38 00:02:27,880 --> 00:02:33,160 Speaker 1: working in a region with low joblessness. This was the 39 00:02:33,160 --> 00:02:36,160 Speaker 1: wage curve. It was invented by one Andrew Oswald and 40 00:02:36,200 --> 00:02:39,360 Speaker 1: a guy named David blanche Flower. This is right after 41 00:02:39,560 --> 00:02:43,760 Speaker 1: Ricardo that they did this, and Danny blanch Flower joins 42 00:02:43,840 --> 00:02:48,000 Speaker 1: us now from Dartmouth professor. If you wrote your classic 43 00:02:48,080 --> 00:02:53,520 Speaker 1: the wage curve, now, how would it be different? The 44 00:02:53,600 --> 00:02:57,720 Speaker 1: big difference would be that prior to two thousand and eight, 45 00:02:57,760 --> 00:03:00,440 Speaker 1: the way we assumed you could measure lay the market 46 00:03:00,560 --> 00:03:03,920 Speaker 1: slack was to simply look at the unemployment rates, and 47 00:03:04,000 --> 00:03:07,959 Speaker 1: all the other labor market measures moved with it. Since 48 00:03:08,040 --> 00:03:12,880 Speaker 1: two thousand and eight, um, many policymakers and many commentators 49 00:03:12,880 --> 00:03:16,480 Speaker 1: has assumed that relationship continued. But it turns out that 50 00:03:16,520 --> 00:03:21,360 Speaker 1: the unemployed rate today underestimates the extent to which there's 51 00:03:21,440 --> 00:03:24,880 Speaker 1: labor market slack. So the wage curve fits very well, 52 00:03:24,919 --> 00:03:27,960 Speaker 1: has a long flat pad, but you need to rewrite 53 00:03:28,040 --> 00:03:31,440 Speaker 1: it in labor market slack space. You know that rather 54 00:03:31,520 --> 00:03:34,679 Speaker 1: than just the unemployment rate, there's the underemployed, and there's 55 00:03:34,680 --> 00:03:36,440 Speaker 1: all these people who are out of the labor force 56 00:03:36,640 --> 00:03:39,480 Speaker 1: who this month we saw coming back as we expected, 57 00:03:39,800 --> 00:03:42,440 Speaker 1: which pushes up the unemployment rate. It turns out, so 58 00:03:42,480 --> 00:03:45,800 Speaker 1: there's lots of labor market slack, just as we assumed 59 00:03:45,800 --> 00:03:48,960 Speaker 1: that there would be, and that's why there's essentially no 60 00:03:48,960 --> 00:03:52,119 Speaker 1: no wage pressure because the US economy is a very 61 00:03:52,120 --> 00:03:55,520 Speaker 1: long way away from full employment. Do do policymakers and 62 00:03:55,560 --> 00:03:59,720 Speaker 1: particularly monitory authorities, whatever nation they're in, should they worry 63 00:03:59,720 --> 00:04:03,920 Speaker 1: about the quote unquote under employed or is that asking 64 00:04:04,000 --> 00:04:06,920 Speaker 1: too much of them? Well, I don't think it's asking 65 00:04:06,960 --> 00:04:09,160 Speaker 1: too much of them. Many of us have been writing 66 00:04:09,200 --> 00:04:12,800 Speaker 1: about it for quite a long time in almost every country. Now. 67 00:04:12,840 --> 00:04:16,720 Speaker 1: What we see is that people who are in jobs 68 00:04:17,080 --> 00:04:20,360 Speaker 1: would actually like to have more hours than they can get. 69 00:04:20,400 --> 00:04:24,560 Speaker 1: There there are hours constraints. We have some indicators of 70 00:04:24,600 --> 00:04:26,880 Speaker 1: it in the United States, which is this measure called 71 00:04:27,279 --> 00:04:30,640 Speaker 1: part time for economic reasons. But actually we know that 72 00:04:30,960 --> 00:04:33,599 Speaker 1: there's lots of full time people as well who'd like 73 00:04:33,680 --> 00:04:36,960 Speaker 1: to have more hours, and the fact that these folks 74 00:04:36,960 --> 00:04:41,520 Speaker 1: are under employed keeps wage pressure down, and as demands 75 00:04:41,560 --> 00:04:45,440 Speaker 1: for workers rises, firms can increase the number of hours 76 00:04:45,480 --> 00:04:49,560 Speaker 1: that their workers have rather than pull from the unemployment stock. 77 00:04:50,000 --> 00:04:52,320 Speaker 1: And the interesting thing about this is that the scale 78 00:04:52,320 --> 00:04:56,200 Speaker 1: of under employment basically was zero between two thousand and 79 00:04:56,200 --> 00:04:59,760 Speaker 1: two thousand and eight. But now that slack still exists 80 00:04:59,800 --> 00:05:04,719 Speaker 1: on top of the unemployment. Define for me what a 81 00:05:04,839 --> 00:05:07,440 Speaker 1: long way from full employment means. I mean, we were 82 00:05:07,440 --> 00:05:10,280 Speaker 1: at ten percent unemployment at the height of the recession, 83 00:05:10,839 --> 00:05:16,000 Speaker 1: we're now at five. How much further do you have 84 00:05:16,120 --> 00:05:20,760 Speaker 1: to go to take up Danny blanch Flowers slack. Well, 85 00:05:21,760 --> 00:05:25,520 Speaker 1: it's obviously there's it's obviously pretty hard to exactly work 86 00:05:25,560 --> 00:05:29,560 Speaker 1: that out. My my assumption is probably we're more like 87 00:05:30,160 --> 00:05:33,360 Speaker 1: seven seven and a half percent unemployment, and it will 88 00:05:33,400 --> 00:05:37,800 Speaker 1: take perhaps on the best case scenario, another eighteen months 89 00:05:37,880 --> 00:05:41,839 Speaker 1: or so of two hundred thousand the months in job 90 00:05:42,680 --> 00:05:45,839 Speaker 1: in non farm payroll raises before we see anything like 91 00:05:46,000 --> 00:05:49,160 Speaker 1: a big jump in wage wage growth that you'd see 92 00:05:49,160 --> 00:05:52,200 Speaker 1: its funemployment. It's hard to know. That's why the Fed 93 00:05:52,279 --> 00:05:55,680 Speaker 1: says they're following the data. But the level of slack 94 00:05:56,440 --> 00:05:59,200 Speaker 1: is still quite considerable, and I think it's much more 95 00:05:59,240 --> 00:06:01,800 Speaker 1: considerable than most other people think, not least because of 96 00:06:01,839 --> 00:06:04,400 Speaker 1: the number of young people who have left the labor 97 00:06:04,480 --> 00:06:07,359 Speaker 1: force and will start to come back as the economy 98 00:06:07,400 --> 00:06:11,200 Speaker 1: continues to grow and move towards full employment. So my 99 00:06:11,200 --> 00:06:14,280 Speaker 1: my guess is we're probably around seven probably now a 100 00:06:14,360 --> 00:06:16,840 Speaker 1: couple of percentage points. But the problem is that as 101 00:06:16,880 --> 00:06:19,680 Speaker 1: these folks come back to the labor from the into 102 00:06:19,680 --> 00:06:22,520 Speaker 1: the labor force, as we saw on Friday, that actually 103 00:06:22,520 --> 00:06:28,039 Speaker 1: can raise the unemployment rate. How do we have so 104 00:06:28,120 --> 00:06:32,800 Speaker 1: many job openings as suggested by the Jolts numbers, when 105 00:06:32,839 --> 00:06:37,039 Speaker 1: we have so many under and unemployed people out of 106 00:06:37,040 --> 00:06:39,800 Speaker 1: the labor force. Well, there's all there's always been an 107 00:06:39,800 --> 00:06:44,159 Speaker 1: issue of matching workers to two jobs. I wouldn't say 108 00:06:44,160 --> 00:06:46,240 Speaker 1: that there are actually so many. I mean, go back 109 00:06:46,279 --> 00:06:49,880 Speaker 1: to my point where where there's under employment, workers are 110 00:06:49,920 --> 00:06:54,039 Speaker 1: in jobs their match two jobs that firms have, but 111 00:06:54,200 --> 00:06:56,440 Speaker 1: they would like thirty eight hours a week and they're 112 00:06:56,440 --> 00:07:00,160 Speaker 1: employers offer them twenty four. So there's an issue. Mean, 113 00:07:00,200 --> 00:07:03,520 Speaker 1: the issue is partly to do with matching of workers 114 00:07:03,560 --> 00:07:07,680 Speaker 1: to jobs, but actually workers are constrained by the lack 115 00:07:07,720 --> 00:07:11,560 Speaker 1: of jobs and the lack of hours. Well, if if 116 00:07:12,400 --> 00:07:16,360 Speaker 1: there is a mismatch out there, does that change as 117 00:07:16,400 --> 00:07:18,880 Speaker 1: more young people with better training come into the labor 118 00:07:18,920 --> 00:07:23,000 Speaker 1: force or does this uh slow down because we don't 119 00:07:23,000 --> 00:07:24,840 Speaker 1: have the right people to take up these jobs. I mean, 120 00:07:24,880 --> 00:07:28,080 Speaker 1: there are many many cops right Well, Mike, if it 121 00:07:28,120 --> 00:07:32,160 Speaker 1: was true that there were lots of job openings and 122 00:07:32,200 --> 00:07:35,280 Speaker 1: there weren't enough people out there, there would be an 123 00:07:35,280 --> 00:07:38,360 Speaker 1: obvious prediction, which is, well, there ought to be a 124 00:07:38,400 --> 00:07:41,320 Speaker 1: big rise in wage growth, because if that was true, 125 00:07:41,800 --> 00:07:44,040 Speaker 1: the way that firms would get the workers that they 126 00:07:44,080 --> 00:07:46,920 Speaker 1: needed will be to raise wages and attract them somewhere else. 127 00:07:47,440 --> 00:07:50,360 Speaker 1: And that's not true. And the puzzle for anybody who 128 00:07:50,400 --> 00:07:53,000 Speaker 1: makes that claim that we're close to full employment or 129 00:07:53,200 --> 00:07:55,720 Speaker 1: there's lots of jobs out there really and people aren't 130 00:07:55,720 --> 00:07:58,880 Speaker 1: feeling if that was the case, then wait, and if 131 00:07:59,000 --> 00:08:01,559 Speaker 1: it was also true that long term unemployed didn't count 132 00:08:01,680 --> 00:08:05,040 Speaker 1: from all of those stories, is that would then generate 133 00:08:05,360 --> 00:08:07,640 Speaker 1: a big wage push, which we have not seen. So 134 00:08:07,720 --> 00:08:11,119 Speaker 1: that doesn't seem to really be a winning argument. Danny 135 00:08:11,160 --> 00:08:13,040 Speaker 1: want to come back and talk about this, but let's 136 00:08:13,040 --> 00:08:15,480 Speaker 1: get started down The Wall Street Journal has four killer 137 00:08:15,600 --> 00:08:18,960 Speaker 1: charts today. Trade One of them, folks, I've been using 138 00:08:19,040 --> 00:08:23,480 Speaker 1: on Bloomberg Surveyan's television, which is just simply Global exploit Reports, 139 00:08:23,800 --> 00:08:26,520 Speaker 1: which is a general statement is flatlined. I don't want 140 00:08:26,520 --> 00:08:30,120 Speaker 1: to make it to gloomy. The chart of foreign direct 141 00:08:30,360 --> 00:08:36,000 Speaker 1: investment inflows when you sum it all up worldwide is breathtaking. 142 00:08:36,160 --> 00:08:39,400 Speaker 1: I mean, we're literally getting back to where we were 143 00:08:40,000 --> 00:08:46,600 Speaker 1: fifteen years ago. Why did that happen? Well, governs a 144 00:08:46,679 --> 00:08:50,160 Speaker 1: great question. And my my fear, and I've been gave 145 00:08:50,200 --> 00:08:53,400 Speaker 1: a speech last week on this, my fear is once 146 00:08:53,440 --> 00:08:58,280 Speaker 1: again people underestimated the impact of the of the flowing 147 00:08:58,440 --> 00:09:01,520 Speaker 1: of a major economy in world. In two thousand and 148 00:09:01,600 --> 00:09:04,600 Speaker 1: six and eight, we underestimated that the impact of the 149 00:09:04,720 --> 00:09:09,520 Speaker 1: US slowing, and here we have a rapid slowing in China. 150 00:09:10,040 --> 00:09:12,280 Speaker 1: I mean, I think that's the first thing. And then 151 00:09:12,360 --> 00:09:16,360 Speaker 1: now global uncertainty. But um certainly it appears that global 152 00:09:16,400 --> 00:09:19,520 Speaker 1: trade is declining. And my my favorite old chart from 153 00:09:19,520 --> 00:09:21,480 Speaker 1: two thousand and eight is the chart of the Baltic 154 00:09:21,559 --> 00:09:25,600 Speaker 1: dry and the cost of renting cape sized vessels, which 155 00:09:25,640 --> 00:09:28,760 Speaker 1: is collapsed through the floor. But it appears around the 156 00:09:28,800 --> 00:09:33,040 Speaker 1: world that shipping has been in decline, air freights declined, 157 00:09:33,120 --> 00:09:37,760 Speaker 1: rail freights decline, the cost of shipping um containers has collapse. 158 00:09:37,800 --> 00:09:41,280 Speaker 1: So global trade appears to be falling, and and Chinese 159 00:09:41,280 --> 00:09:43,160 Speaker 1: export appears to have fallen. So a lot of this, 160 00:09:43,280 --> 00:09:46,240 Speaker 1: I think has to do with the rapid decline in 161 00:09:46,240 --> 00:09:49,840 Speaker 1: in China, and essentially That's what Janet Yellen talked about 162 00:09:49,840 --> 00:09:52,840 Speaker 1: the fear of global slowing and its impact on the 163 00:09:52,880 --> 00:09:54,760 Speaker 1: United States, and that was really one of the themes 164 00:09:54,840 --> 00:09:57,360 Speaker 1: last week Fogs, this interview and meeting on and off 165 00:09:57,440 --> 00:10:01,040 Speaker 1: the mike with all sorts of people really focus back 166 00:10:01,040 --> 00:10:03,520 Speaker 1: to a view of e m and led by China 167 00:10:03,600 --> 00:10:06,400 Speaker 1: David Blanche Flows with Dartmouth College. We will continue our 168 00:10:06,400 --> 00:10:10,840 Speaker 1: discussion in the n A. No, no, they're yelled, did 169 00:10:10,880 --> 00:10:14,440 Speaker 1: better than good? Come on yo yo for for for 170 00:10:14,480 --> 00:10:16,880 Speaker 1: the Ivy League, those are the highest. I have to 171 00:10:16,920 --> 00:10:21,600 Speaker 1: do a surveillance correction though. I I Villanova wins, that's great, 172 00:10:21,880 --> 00:10:25,800 Speaker 1: but North Carolina is my last remaining team in the brackets. 173 00:10:26,440 --> 00:10:31,240 Speaker 1: I have a interest in that, you know as well. 174 00:10:32,120 --> 00:10:35,080 Speaker 1: Best team wins. Let's features up for down features up 175 00:10:35,080 --> 00:10:39,280 Speaker 1: twelve uh the yeah one eleven fifty five stronger yea 176 00:10:39,400 --> 00:10:41,959 Speaker 1: that bears watching as we begin the week. Really have 177 00:10:42,080 --> 00:10:46,720 Speaker 1: seen that for some time recently, West Texas thirty oil 178 00:10:47,160 --> 00:10:53,520 Speaker 1: up this morning. Let's check out with Michael bar Now 179 00:10:53,520 --> 00:10:55,880 Speaker 1: I'll get the latest world of national headlines. Michael, Mike, Tom, 180 00:10:55,920 --> 00:10:58,559 Speaker 1: thank you very much. Officials say a wave of suicide 181 00:10:58,559 --> 00:11:01,800 Speaker 1: attacks wept across Iraq today, killing at least twenty nine people. 182 00:11:01,880 --> 00:11:05,720 Speaker 1: The deadliest attack happened about two hundred miles southeast Baghdad. 183 00:11:06,040 --> 00:11:08,600 Speaker 1: A suicide bomber blew himself up inside a restaurant that 184 00:11:08,760 --> 00:11:12,600 Speaker 1: is frequented by Shi I'd paramilitary militia fighters abode with 185 00:11:12,679 --> 00:11:15,600 Speaker 1: more than a hundred thirty refugees who fled Togrees as 186 00:11:15,640 --> 00:11:18,640 Speaker 1: we turned them to Turkey. It's part of a European 187 00:11:18,720 --> 00:11:22,800 Speaker 1: Union deal to stem migration to Europe. Republican presidential front 188 00:11:22,880 --> 00:11:26,240 Speaker 1: runner Donald Trump is calling on Ohio Governor John kasy 189 00:11:26,320 --> 00:11:29,720 Speaker 1: to quit the race. Trump says the nomination will be 190 00:11:29,960 --> 00:11:32,760 Speaker 1: without It will be his without Kasey, who has no 191 00:11:32,840 --> 00:11:35,240 Speaker 1: chance of winning the nomination. Trump and Ted Cruiser in 192 00:11:35,280 --> 00:11:38,800 Speaker 1: a tight race in Wisconsin. Global News twenty four hours 193 00:11:38,800 --> 00:11:42,000 Speaker 1: a day, powered by our twenty four hundred journalists more 194 00:11:42,000 --> 00:11:44,079 Speaker 1: than a hundred fifty news bureaus from around the world. 195 00:11:44,280 --> 00:11:47,080 Speaker 1: Michael bar Mike, Tom, Michael, thanks so much again. I 196 00:11:47,080 --> 00:11:50,520 Speaker 1: mentioned Yen one fifty four off to see that can 197 00:11:50,520 --> 00:11:53,360 Speaker 1: push every stronger. A lot of doubt about that. You're 198 00:11:53,400 --> 00:11:58,120 Speaker 1: O one thirteen eighty next. David Blanche Flower and stimulus 199 00:11:58,480 --> 00:12:02,119 Speaker 1: on austerity. My co McKee and Tom King Bloomberg Surveillance. 200 00:12:06,200 --> 00:12:08,440 Speaker 1: The news update brought to you by Mercedes Ben's outstanding 201 00:12:08,440 --> 00:12:10,640 Speaker 1: offers are in full bloom Enter Mercedes Benz Tri State 202 00:12:10,640 --> 00:12:13,280 Speaker 1: dealers take advantage of limited time leasing in finance programs 203 00:12:13,280 --> 00:12:15,920 Speaker 1: on select models this spring season. Visit m the USA 204 00:12:16,000 --> 00:12:24,440 Speaker 1: dot com for details. Today global business news twenty four 205 00:12:24,480 --> 00:12:27,600 Speaker 1: hours a day, if Bloomberg dot Com, the Radio plus 206 00:12:27,600 --> 00:12:30,719 Speaker 1: mobile app and on your radio. This is a Broomberg 207 00:12:30,840 --> 00:12:35,000 Speaker 1: Business Flash and I'm Cameron Moscow. US dot Index futures 208 00:12:35,000 --> 00:12:37,200 Speaker 1: are higher this morning. Let's go to the First Word 209 00:12:37,240 --> 00:12:40,800 Speaker 1: Breaking news desk for today's morning call. And here's Vince Singnerella. 210 00:12:40,840 --> 00:12:43,480 Speaker 1: Good morning, Vince, Good morning Karen. As you say, US 211 00:12:43,559 --> 00:12:46,439 Speaker 1: futures are higher, dows up seven s and p up 212 00:12:46,440 --> 00:12:49,440 Speaker 1: two NAS dets up four and a half. US tenure 213 00:12:49,520 --> 00:12:53,560 Speaker 1: yield is at one point seven seven percent. Oil prices 214 00:12:53,760 --> 00:12:57,360 Speaker 1: are a bit higher. W T I Crew thirty up 215 00:12:57,440 --> 00:13:00,920 Speaker 1: eighteen cents, Rent up twelve cents at thirty eight seventy nine. 216 00:13:02,320 --> 00:13:06,360 Speaker 1: On the economic front, March New York I s M 217 00:13:06,400 --> 00:13:10,640 Speaker 1: at ten, durable goods Capex orders and Shipment's Boston Fed 218 00:13:10,720 --> 00:13:14,760 Speaker 1: President Rosegund speaks at nine thirty, and Reserve Bank President 219 00:13:14,760 --> 00:13:17,520 Speaker 1: of Minneapolis Cash Cary holds a Too Big to Fail 220 00:13:17,559 --> 00:13:21,240 Speaker 1: conference at seven. In some of today's top news, Alaska 221 00:13:21,280 --> 00:13:24,560 Speaker 1: Air to buy British Virgin America for fifty seven dollars 222 00:13:24,559 --> 00:13:28,640 Speaker 1: to share cash forty seven percent premium. Bats Global Market 223 00:13:28,760 --> 00:13:31,560 Speaker 1: sets an I p O at eleven point two million shares, 224 00:13:31,800 --> 00:13:35,120 Speaker 1: price up between seventeen and nineteen dollars a share. Live 225 00:13:35,200 --> 00:13:38,000 Speaker 1: from the First Word Breaking News Desk. I'm Vincent Cignarella. 226 00:13:38,120 --> 00:13:41,280 Speaker 1: Karen alright, thanks VINCEA to hear live breaking news over 227 00:13:41,320 --> 00:13:43,959 Speaker 1: your Bloomberg type squaw could go on your terminal. Let's 228 00:13:43,960 --> 00:13:46,319 Speaker 1: ask you a w K go and that's a Bloomberg 229 00:13:46,320 --> 00:13:50,240 Speaker 1: business flash. Tom and Mike Karen, thanks so much, greatly appreciated. 230 00:13:50,240 --> 00:13:54,520 Speaker 1: A Bloomberg surveillance this Monday, brought you by Investco. Factor 231 00:13:54,559 --> 00:13:59,679 Speaker 1: based strategies can help investors focus on high quality, low volatility, 232 00:13:59,800 --> 00:14:05,160 Speaker 1: and more. Learn more at invesco dot com Slash High Conviction. 233 00:14:05,760 --> 00:14:08,040 Speaker 1: Michael McKee and Tom Key Mike. We should say who 234 00:14:08,120 --> 00:14:12,120 Speaker 1: David blanche Flower is. We talked earlier about his iconic 235 00:14:12,160 --> 00:14:16,480 Speaker 1: the wage curve, but he, besides his daughter's kept the 236 00:14:16,520 --> 00:14:20,320 Speaker 1: GDP of the United Kingdom afloat for like three years 237 00:14:20,320 --> 00:14:23,600 Speaker 1: with various marriages in the United Kingdom. I mean he 238 00:14:23,640 --> 00:14:25,360 Speaker 1: was with the Bank of England, he was on the 239 00:14:25,400 --> 00:14:31,440 Speaker 1: Monetary Policy Committee and then the longtime commentator in UK newspapers. 240 00:14:31,640 --> 00:14:34,720 Speaker 1: You were last with the Independent, which has breathed its 241 00:14:34,760 --> 00:14:37,280 Speaker 1: last as a print institution, and you're still online with 242 00:14:37,360 --> 00:14:43,840 Speaker 1: the With the Independent. No, we separated over a disagreement 243 00:14:43,880 --> 00:14:46,440 Speaker 1: over the support of the Independent of the of the 244 00:14:46,560 --> 00:14:50,560 Speaker 1: government in not left may interesting over opinion that an 245 00:14:50,560 --> 00:14:55,160 Speaker 1: independent newspaper, which anyway, let's move on from that. Let's 246 00:14:55,200 --> 00:14:57,560 Speaker 1: move on from that, all right, let's let's move on 247 00:14:57,600 --> 00:15:00,560 Speaker 1: to this. Uh, the idea to go along the idea 248 00:15:00,640 --> 00:15:04,120 Speaker 1: of slacking the labor market and the fact that wages 249 00:15:04,120 --> 00:15:07,160 Speaker 1: aren't rising as much. Jan Randa very interesting right up 250 00:15:07,160 --> 00:15:09,280 Speaker 1: on the Bloomberg today and I urge everybody to look 251 00:15:09,320 --> 00:15:13,120 Speaker 1: at this story actually came out over the weekend. Um 252 00:15:13,320 --> 00:15:17,520 Speaker 1: wage growth according to a new study published by the 253 00:15:17,760 --> 00:15:21,480 Speaker 1: San Francisco Fed Mary Daily, The associate director of research 254 00:15:21,560 --> 00:15:25,280 Speaker 1: there suggests that our the numbers we look at in 255 00:15:25,360 --> 00:15:29,120 Speaker 1: terms of wage growth are not the best. I don't 256 00:15:29,120 --> 00:15:31,480 Speaker 1: want to say inaccurate but not the best measures of 257 00:15:31,560 --> 00:15:34,360 Speaker 1: wage growth because the composition of the labor market has 258 00:15:34,520 --> 00:15:41,640 Speaker 1: changed during the Great Recession, disproportionately workers at the lower 259 00:15:42,080 --> 00:15:45,760 Speaker 1: end of the wage scale. We're fired, and now they 260 00:15:45,800 --> 00:15:48,400 Speaker 1: come back, and as they are added in, their lower 261 00:15:48,400 --> 00:15:51,760 Speaker 1: wages dragged down wage growth. And then we have higher 262 00:15:51,800 --> 00:15:56,760 Speaker 1: wage baby boomers retiring now and that is also a 263 00:15:56,880 --> 00:16:00,280 Speaker 1: drag on wage growth. And according to the different kinds 264 00:16:00,280 --> 00:16:02,920 Speaker 1: of indicators she looks at, like the wage growth number 265 00:16:02,920 --> 00:16:05,440 Speaker 1: from the Atlanta Fed, wages are growing at three point two, 266 00:16:05,840 --> 00:16:08,760 Speaker 1: So maybe we are seeing some pressure that is not 267 00:16:08,880 --> 00:16:13,360 Speaker 1: being properly measured. Well, all the people who need to 268 00:16:13,360 --> 00:16:17,360 Speaker 1: see wage rises have jumped to all kinds of excuses. 269 00:16:17,440 --> 00:16:20,760 Speaker 1: The excuses first of all, where um that wage growth 270 00:16:20,840 --> 00:16:22,800 Speaker 1: was going to come. It was a lagging indicator, it 271 00:16:22,880 --> 00:16:27,360 Speaker 1: was really going to come. Um. I don't buy that analysis. Actually, UM, 272 00:16:27,400 --> 00:16:30,800 Speaker 1: it appears it's very hard actually to see many places 273 00:16:30,840 --> 00:16:34,040 Speaker 1: around the world where workers are making three percent. I mean, 274 00:16:34,080 --> 00:16:36,800 Speaker 1: the issue is who's actually making that. So if you 275 00:16:36,880 --> 00:16:40,200 Speaker 1: look at things like well, let's just go to um 276 00:16:40,320 --> 00:16:45,760 Speaker 1: production and nonsupervisory workers, their wage growth is around two UM. 277 00:16:45,840 --> 00:16:47,680 Speaker 1: I mean, you can fiddle around with the data and 278 00:16:47,680 --> 00:16:50,080 Speaker 1: try and pretend on the some assumptions that it's higher 279 00:16:50,160 --> 00:16:53,120 Speaker 1: than it actually is. But the question is, where are 280 00:16:53,120 --> 00:16:56,880 Speaker 1: these people who are making three and four percent wage growth? 281 00:16:57,080 --> 00:17:00,160 Speaker 1: I don't see them. Nobody else sees them. Um, and 282 00:17:00,320 --> 00:17:02,480 Speaker 1: some people need to fiddle around with the data. But 283 00:17:02,520 --> 00:17:04,800 Speaker 1: I just don't buy that the data looks to be 284 00:17:04,840 --> 00:17:10,399 Speaker 1: consistent around the world with relatively flat wage growth. I 285 00:17:10,440 --> 00:17:14,000 Speaker 1: I look at it, and I look at the movements, Professor, 286 00:17:14,119 --> 00:17:17,800 Speaker 1: and more than anything, what I see is a bimodal 287 00:17:17,880 --> 00:17:22,919 Speaker 1: trimordal America, or a bimodal trimodal world for that matter. 288 00:17:23,440 --> 00:17:27,800 Speaker 1: Can we trust the numbers and policy makers use an 289 00:17:27,840 --> 00:17:32,800 Speaker 1: allan macro analysis or is that a quaint thing? For 290 00:17:32,840 --> 00:17:36,440 Speaker 1: another time? When I think it is quite quaint, I mean, 291 00:17:37,160 --> 00:17:39,600 Speaker 1: I might write in the sense that you can look 292 00:17:39,640 --> 00:17:43,080 Speaker 1: at different parts of the distribution and you can see 293 00:17:43,200 --> 00:17:45,360 Speaker 1: different bits of wage grows. Let me give you an example. 294 00:17:45,680 --> 00:17:47,840 Speaker 1: The latest data in the UK from a thing called 295 00:17:47,880 --> 00:17:51,320 Speaker 1: the Labor Force Survey has actually got the mean growth 296 00:17:51,400 --> 00:17:55,240 Speaker 1: rate of two and the median growth rate of zero. 297 00:17:55,880 --> 00:17:58,080 Speaker 1: And obviously they I mean it's right in the sense 298 00:17:58,160 --> 00:18:03,359 Speaker 1: that different bits of the distribution are impacted. Um, but 299 00:18:03,480 --> 00:18:07,439 Speaker 1: they certainly does turn out that it's one simple measure 300 00:18:07,520 --> 00:18:10,879 Speaker 1: may not well be enough, but certainly there are issues 301 00:18:10,920 --> 00:18:14,400 Speaker 1: about people get paid. There certainly appears around the globe 302 00:18:14,600 --> 00:18:18,000 Speaker 1: that the top decile and maybe even the top percentile 303 00:18:18,280 --> 00:18:21,720 Speaker 1: have done particularly well. The question is what's happened to 304 00:18:21,800 --> 00:18:24,520 Speaker 1: the lowest half of the distribution. So there's certainly are 305 00:18:24,600 --> 00:18:28,919 Speaker 1: distributional effects. But again, I say around the world, So 306 00:18:29,040 --> 00:18:32,480 Speaker 1: where are all these people that supposedly are making these 307 00:18:32,560 --> 00:18:35,200 Speaker 1: huge wage growth. I don't know. If anything, it's very 308 00:18:35,240 --> 00:18:37,040 Speaker 1: hard to see any The other thing perhaps to go 309 00:18:37,080 --> 00:18:39,640 Speaker 1: and look at is if you look at union wage settlements. 310 00:18:39,800 --> 00:18:42,280 Speaker 1: We don't see that in union wage settlements either. So 311 00:18:42,320 --> 00:18:44,720 Speaker 1: I don't really buy the fiddle with the data and 312 00:18:44,760 --> 00:18:46,920 Speaker 1: I can try and get an answer that's bigger kind 313 00:18:46,920 --> 00:18:49,160 Speaker 1: of response, we're gonna have to leave it there, David, 314 00:18:49,800 --> 00:18:52,160 Speaker 1: thank you so much. At Dartmouth College and this waking 315 00:18:52,200 --> 00:18:54,480 Speaker 1: I could go on like for like two hours. So 316 00:18:54,720 --> 00:18:58,240 Speaker 1: they did a lecture once with Professor Blanche Flower in 317 00:18:58,400 --> 00:19:01,240 Speaker 1: Dartmouth and Mike it was of it. It was just 318 00:19:02,440 --> 00:19:07,320 Speaker 1: riveting how the students. Two things intrigued me. The students 319 00:19:07,760 --> 00:19:11,200 Speaker 1: listened to what he had to say within the international 320 00:19:11,280 --> 00:19:15,280 Speaker 1: macro continuum. It wasn't just all the usual you know, textbook, 321 00:19:15,400 --> 00:19:18,600 Speaker 1: boiler plate and the other thing, Mike that was frightening 322 00:19:18,680 --> 00:19:22,240 Speaker 1: was how smart the students questions were, how informed they 323 00:19:22,240 --> 00:19:26,640 Speaker 1: were because they listened to Bloomberg Surveillance every morning. That's 324 00:19:26,680 --> 00:19:30,159 Speaker 1: why I'm kidding, but it was a great pleasure. You 325 00:19:30,200 --> 00:19:33,120 Speaker 1: need to listen to this program every day and you'll 326 00:19:33,160 --> 00:19:35,240 Speaker 1: be you'll pass your class a lot going on. What 327 00:19:35,320 --> 00:19:37,720 Speaker 1: an end of the first quarter? Like The most amazing 328 00:19:37,760 --> 00:19:41,040 Speaker 1: thing to me is we begin the second quarter? Is 329 00:19:41,119 --> 00:19:44,679 Speaker 1: I believe we end it with Brexit. I mean, you know, 330 00:19:44,760 --> 00:19:47,240 Speaker 1: I granted it's a long ways away, five days away 331 00:19:47,320 --> 00:19:50,040 Speaker 1: or whatever, but it is going to be a wild 332 00:19:50,240 --> 00:19:53,240 Speaker 1: end of June this year. We'll throw in the fact 333 00:19:53,280 --> 00:19:55,960 Speaker 1: you got a FED meeting Dana June, and you got 334 00:19:56,040 --> 00:20:00,520 Speaker 1: Greek debt. So Mike and I are taking off. Oh mate, 335 00:20:00,520 --> 00:20:02,399 Speaker 1: that's the answer, because we're not getting out of here 336 00:20:02,400 --> 00:20:07,200 Speaker 1: in June. 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